Mindbreeze

15/06/2026

In the latest Illuminating Information episode, Mindbreeze CTO Jakob Praher explains what agentic AI means for enterprises and why context, orchestration, and governance are key to its success.
Listen now https://www.mindbreeze.com/podcast/episode-38.

"Thanks to our long-standing partnership with Mindbreeze, our customers have access to all relevant real-time data to make informed and quick decisions.Together with Mindbreeze, we are shaping the future of AI-based knowledge management in the enterprise."

11/06/2026

What happens when AI moves beyond generating content and starts taking action?

In the latest episode of Illuminating Information, Jakob Praher, CTO of Mindbreeze, joins us to discuss the rise of agentic AI, how it differs from generative AI, and what it means for the future of enterprise work.

Learn how context-aware, goal-oriented AI is transforming the way employees interact with enterprise knowledge.

🎧 Tune in: https://www.mindbreeze.com/podcast/episode-38

In this episode of Illuminating Information, we are joined by Jakob Praher, CTO of Mindbreeze, to explore the shift from generative AI to agentic AI and what it means for the future of enterprise work.

10/06/2026

𝟲𝟬 𝗦𝗲𝗰𝗼𝗻𝗱𝘀 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: 𝗠𝗼𝗱𝗲𝗹-𝗔𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗔𝗜

Model-agnostic AI means an enterprise AI system is not locked into one specific large language model.
Instead, it can work with different models depending on the use case, performance needs, security requirements or business priorities.

Why does this matter?

Because the AI landscape changes fast. A model that works best today may not be the best fit tomorrow. Model-agnostic systems give organizations the flexibility to adapt without rebuilding their entire AI architecture.
For enterprises, this supports greater control, scalability and long-term resilience.

In other words: it is not just about choosing the “best” model. It is about building an AI strategy that can evolve.

09/06/2026

The Mindbreeze InSpire 26.3 Release is here!
This update improves chart accessibility with Highcharts 12.5.0, enabling keyboard navigation and screen reader recognition.
See all updates: https://help.mindbreeze.com/en/index.php?topic=doc/Release-Notes-263-Release---Mindbreeze-InSpire/index.htm

Hereby, Mindbreeze Insight Touchpoints play a central role because they mark the start of every action, such as searching for experts, completing questionnaires, or engaging with corporate knowledge to find answers.

08/06/2026

Agentic AI should not start with the question, “How many roles can we eliminate?”
A better question for the C-suite:
Where is human expertise being wasted by operational complexity?
In his latest article, Mindbreeze CEO Daniel Fallmann explains why the real opportunity is workflow transformation, not simple task automation.

04/06/2026

As enterprise AI becomes more advanced, organizations are discovering a fundamental challenge:
AI systems are only as effective as the structure behind the knowledge they access.

That is why ontologies are becoming increasingly important in enterprise AI architectures.

An ontology provides the semantic framework that defines how concepts, entities, and relationships connect across the enterprise. Combined with knowledge graphs, this creates a shared understanding that allows AI systems to retrieve, interpret, and reason over information more effectively.

The result is more contextual search, more reliable Retrieval Augmented Generation, and stronger explainability across enterprise workflows.

At Mindbreeze, ontologies and knowledge graphs form a critical foundation for contextual intelligence by connecting fragmented enterprise information into structured, actionable knowledge.

As AI moves from generation toward operational ex*****on, semantic structure becomes increasingly essential.
Learn more: https://www.mindbreeze.com/blog/demystifying-ontologies-in-knowledge-graphs-building-a-semantic-backbone-for-enterprise-ai

Why enterprises need structured knowledgeAs organizations adopt AI to enhance search, summarization, and automation, they encounter a fundamental challenge: data resides in different systems and often lacks a common vocabulary. Knowledge graphs address this by linking entities and facts across domai...

03/06/2026

𝟲𝟬 𝗦𝗲𝗰𝗼𝗻𝗱𝘀 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: 𝗘𝗻𝘁𝗶𝘁𝘆 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻

Entity recognition is the process of identifying and categorizing key information within unstructured data.
This can include:

• People
• Organizations
• Projects
• Products
• Locations
• Dates

In enterprise AI, entity recognition helps transform documents, emails, reports, and conversations into connected knowledge.

Instead of treating information as isolated text, AI can understand relationships and context across systems and workflows.

At Mindbreeze, entity recognition helps power contextual intelligence by connecting enterprise knowledge dynamically and making information easier to discover, analyze, and act on.

02/06/2026

The article “2 Dashboards, 1 Confused Customer: The Real Cost of CX AI Separation” highlights a critical issue many enterprises are beginning to face.

AI and customer experience can no longer operate as separate strategies.

When AI systems are deployed independently from customer workflows, organizations create fragmented interactions, inconsistent journeys, and disconnected operational processes.

The organizations generating measurable value from AI are increasingly embedding intelligence directly into operational workflows rather than layering AI on top of existing systems.

This is a critical distinction.

AI becomes significantly more effective when it operates inside the customer journey itself:
• Connected to enterprise systems
• Embedded into workflows
• Context aware across interactions
• Governed within operational processes

At Mindbreeze, this is exactly how we think about operational intelligence.
With the Mindbreeze Insight Workplace, AI is not treated as a separate interface or isolated assistant. Intelligence is embedded directly into enterprise workflows through Insight Touchpoints and Journeys, enabling context aware ex*****on across systems and processes.

The future of enterprise AI will be defined by how deeply intelligence becomes integrated into the operational flow of the enterprise.

01/06/2026

The Mindbreeze InSpire 26.3 Release is available now! Mindbreeze customers have access to the following release highlight:

Mindbreeze Insight Workplace and Agentic AI ¬- The Mindbreeze Insight Workplace acts as a “Single Point of Entry” for employees’ daily work processes. Hereby, Mindbreeze Insight Touchpoints play a central role because they mark the start of every action, such as searching for experts, completing questionnaires or engaging with corporate knowledge to find answers. Agentic AI works behind each Mindbreeze Insight Touchpoint to prepare the required content in a context-sensitive manner, provides relevant information and intelligently supports subsequent processes. When a user initiates an activity, such as searching for an expert, Agentic AI automatically executes the relevant steps, documents, saves and continuously improves them.

An Insight Journey is generated when a user accesses multiple Insight Touchpoints, providing consistent results across various topics without leaving the Insight Workplace.

This results in seamless, intelligent workflows that specifically reduce employees' daily workload. Decisions can be made faster, routine tasks automated, and knowledge utilized more efficiently, without sacrificing flexibility (“Bring your own LLM”).

For more information and a complete list of all features and improvements, please click the link for the Mindbreeze InSpire Release Notes 26.3 Release: https://help.mindbreeze.com/en/index.php?topic=doc/Release-Notes-263-Release---Mindbreeze-InSpire/index.htm

Hereby, Mindbreeze Insight Touchpoints play a central role because they mark the start of every action, such as searching for experts, completing questionnaires, or engaging with corporate knowledge to find answers.

28/05/2026

AI systems are beginning to execute actions across enterprise environments, which means organizations need visibility into what AI can access, what it is allowed to do, and how those actions are monitored and audited.

https://www.techradar.com/pro/how-enterprises-can-safely-scale-agentic-ai
The key insight from this article is critical:
Governance cannot be layered on after deployment. It has to be embedded directly into the architecture from the start.

At Mindbreeze, this is exactly how enterprise AI is approached.
With the Mindbreeze Insight Workplace, governance, permissions, traceability, and auditability are built into AI workflows so organizations can scale automation within clearly defined boundaries.

Because enterprise AI only becomes operationally sustainable when organizations can trust how intelligence behaves inside their systems.

The future of agentic AI will depend as much on governance as on capability.

Automation without control is the real risk